Research

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Cyber-physical-human systems

At CSL, researchers believe in the importance of creating and evaluating formal techniques and general principles for the design of safe and robust cyber-physical-human (CPH) systems that comprise both people and hardware and software automation. CPH systems can allow people to be more productive and better informed and thus increase their ability to contribute to society.

Facets of the research include the use of mobile robots, image processing, visualization of information, embodied movement studies, optimal control theory and formal methods, supervisory control, human-robot interaction, and collaboration paradigms. Aims of research in this area include improvement of the interfaces between humans, computers, and their physical environment and achieving levels of human-automation system performance, robustness, and safety that exceed what would be achievable by either a human or an automation acting alone.